mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-12-27 18:09:08 +00:00
60beaa4563
* reflected doc changes to README.md
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* tra_analysis v 2.1.0-alpha.1
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* changed setup.py to use __version__ from source
added Topic and keywords
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* updated Supported Platforms in README.md
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved required files back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved security back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved security back to parent
moved contributing back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* add PR template
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved to parent folder
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved meta files to .github folder
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* Analysis.py v 3.0.1
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* updated test_analysis for submodules, and added missing numpy import in Sort.py
* fixed item one of Issue #58
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* readded cache searching in postCreateCommand
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* added myself as an author
* feat: created kivy gui boilerplate
* added Kivy to requirements.txt
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* feat: gui with placeholders
* fix: changed config.json path
* migrated docker base image to debian
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* style: spaces to tabs
* migrated to ubuntu
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed issues
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fix: docker build?
* fix: use ubuntu bionic
* fix: get kivy installed
* @ltcptgeneral can't spell
* optim dockerfile for not installing unused packages
* install basic stuff while building the container
* use prebuilt image for development
* install pylint on base image
* rename and use new kivy
* tests: added tests for Array and CorrelationTest
Both are not working due to errors
* use new thing
* use 20.04 base
* symlink pip3 to pip
* use pip instead of pip3
* equation.Expression.py v 0.0.1-alpha
added corresponding .pyc to .gitignore
* parser.py v 0.0.2-alpha
* added pyparsing to requirements.txt
* parser v 0.0.4-alpha
* Equation v 0.0.1-alpha
* added Equation to tra_analysis imports
* tests: New unit tests for submoduling (#66)
* feat: created kivy gui boilerplate
* migrated docker base image to debian
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* migrated to ubuntu
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed issues
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fix: docker build?
* fix: use ubuntu bionic
* fix: get kivy installed
* @ltcptgeneral can't spell
* optim dockerfile for not installing unused packages
* install basic stuff while building the container
* use prebuilt image for development
* install pylint on base image
* rename and use new kivy
* tests: added tests for Array and CorrelationTest
Both are not working due to errors
* fix: Array no longer has *args and CorrelationTest functions no longer have self in the arguments
* use new thing
* use 20.04 base
* symlink pip3 to pip
* use pip instead of pip3
* tra_analysis v 2.1.0-alpha.2
SVM v 1.0.1
added unvalidated SVM unit tests
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed version number
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* tests: added tests for ClassificationMetric
* partially fixed and commented out svm unit tests
* fixed some SVM unit tests
* added installing pytest to devcontainer.json
* fix: small fixes to KNN
Namely, removing self from parameters and passing correct arguments to KNeighborsClassifier constructor
* fix, test: Added tests for KNN and NaiveBayes.
Also made some small fixes in KNN, NaiveBayes, and RegressionMetric
* test: finished unit tests except for StatisticalTest
Also made various small fixes and style changes
* StatisticalTest v 1.0.1
* fixed RegressionMetric unit test
temporarily disabled CorrelationTest unit tests
* tra_analysis v 2.1.0-alpha.3
* readded __all__
* fix: floating point issues in unit tests for CorrelationTest
Co-authored-by: AGawde05 <agawde05@gmail.com>
Co-authored-by: ltcptgeneral <learthurgo@gmail.com>
Co-authored-by: Dev Singh <dev@devksingh.com>
Co-authored-by: jzpan1 <panzhenyu2014@gmail.com>
* fixed depreciated escape sequences
* ficed tests, indent, import in test_analysis
* changed version to 3.0.0
added backwards compatibility
* ficed pytest install in container
* removed GUI changes
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* incremented version to rc.1 (release candidate 1)
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* fixed NaiveBayes __changelog__
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* fix: __setitem__ == to single =
* Array v 1.0.1
* Revert "Array v 1.0.1"
This reverts commit 59783b79f7
.
* Array v 1.0.1
* Array.py v 1.0.2
added more Array unit tests
* cleaned .gitignore
tra_analysis v 3.0.0-rc2
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* added *.pyc to gitignore
finished subdividing test_analysis
* feat: gui layout + basic func
* Froze and removed superscript (data-analysis)
* remove data-analysis deps install for devcontainer
* tukey pairwise comparison and multicomparison but no critical q-values
* quick patch for devcontainer.json
* better fix for devcontainer.json
* fixed some styling in StatisticalTest
removed print statement in StatisticalTest unit tests
* update analysis tests to be more effecient
* don't use loop for test_nativebayes
* removed useless secondary docker files
* tra-analysis v 3.0.0
Co-authored-by: James Pan <panzhenyu2014@gmail.com>
Co-authored-by: AGawde05 <agawde05@gmail.com>
Co-authored-by: zpan1 <72054510+zpan1@users.noreply.github.com>
Co-authored-by: Dev Singh <dev@devksingh.com>
Co-authored-by: = <=>
Co-authored-by: Dev Singh <dsingh@imsa.edu>
Co-authored-by: zpan1 <zpan@imsa.edu>
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
from __future__ import division
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from pyparsing import (Literal, CaselessLiteral, Word, Combine, Group, Optional, ZeroOrMore, Forward, nums, alphas, oneOf)
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from . import py2
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import math
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import operator
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class BNF(object):
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def pushFirst(self, strg, loc, toks):
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self.exprStack.append(toks[0])
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def pushUMinus(self, strg, loc, toks):
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if toks and toks[0] == '-':
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self.exprStack.append('unary -')
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def __init__(self):
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"""
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expop :: '^'
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multop :: '*' | '/'
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addop :: '+' | '-'
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integer :: ['+' | '-'] '0'..'9'+
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atom :: PI | E | real | fn '(' expr ')' | '(' expr ')'
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factor :: atom [ expop factor ]*
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term :: factor [ multop factor ]*
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expr :: term [ addop term ]*
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"""
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point = Literal(".")
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e = CaselessLiteral("E")
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fnumber = Combine(Word("+-" + nums, nums) +
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Optional(point + Optional(Word(nums))) +
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Optional(e + Word("+-" + nums, nums)))
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ident = Word(alphas, alphas + nums + "_$")
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plus = Literal("+")
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minus = Literal("-")
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mult = Literal("*")
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div = Literal("/")
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lpar = Literal("(").suppress()
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rpar = Literal(")").suppress()
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addop = plus | minus
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multop = mult | div
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expop = Literal("^")
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pi = CaselessLiteral("PI")
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expr = Forward()
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atom = ((Optional(oneOf("- +")) +
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(ident + lpar + expr + rpar | pi | e | fnumber).setParseAction(self.pushFirst))
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| Optional(oneOf("- +")) + Group(lpar + expr + rpar)
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).setParseAction(self.pushUMinus)
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factor = Forward()
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factor << atom + \
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ZeroOrMore((expop + factor).setParseAction(self.pushFirst))
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term = factor + \
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ZeroOrMore((multop + factor).setParseAction(self.pushFirst))
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expr << term + \
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ZeroOrMore((addop + term).setParseAction(self.pushFirst))
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self.bnf = expr
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epsilon = 1e-12
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self.opn = {"+": operator.add,
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"-": operator.sub,
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"*": operator.mul,
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"/": operator.truediv,
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"^": operator.pow}
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self.fn = {"sin": math.sin,
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"cos": math.cos,
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"tan": math.tan,
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"exp": math.exp,
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"abs": abs,
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"trunc": lambda a: int(a),
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"round": round,
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"sgn": lambda a: abs(a) > epsilon and py2.cmp(a, 0) or 0}
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def evaluateStack(self, s):
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op = s.pop()
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if op == 'unary -':
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return -self.evaluateStack(s)
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if op in "+-*/^":
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op2 = self.evaluateStack(s)
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op1 = self.evaluateStack(s)
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return self.opn[op](op1, op2)
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elif op == "PI":
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return math.pi
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elif op == "E":
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return math.e
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elif op in self.fn:
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return self.fn[op](self.evaluateStack(s))
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elif op[0].isalpha():
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return 0
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else:
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return float(op)
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def eval(self, num_string, parseAll=True):
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self.exprStack = []
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results = self.bnf.parseString(num_string, parseAll)
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val = self.evaluateStack(self.exprStack[:])
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return val |